Safety Advancing Federated Estimation of Risk using AI (SAFER AI)

使用人工智能推进安全联合风险估计 (SAFER AI)

基本信息

  • 批准号:
    10093091
  • 负责人:
  • 金额:
    $ 148.3万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Collaborative R&D
  • 财政年份:
    2024
  • 资助国家:
    英国
  • 起止时间:
    2024 至 无数据
  • 项目状态:
    未结题

项目摘要

Data privacy and security is a key concern for the adoption of Artificial Intelligence/Machine Learning with IoT (Internet of Things), particularly where that data is personal or security sensitive. The number of IoT-enabled devices and machines is growing exponentially, estimated to reach 26Bn globally by 2030\. Creating platforms optimised to maximise private and secure machine learning at the edge in distributed systems that can be trusted is an urgent priority.The consortium's mission is to help solve the challenge of implementing trustworthy AI-in-IoT. This will be achieved by accelerating the development of a federated, secure, privacy-preserving, and auditable AI-for-IoT platform optimised for machine learning in IoT and edge systems. OctaiPipe is a first-of-its-kind innovation that combines privacy-preserving machine learning technology, cyber security, continuous collaborative learning and AI lifecycle management. This will allow IoT-enabled businesses to build, deploy, and manage machine learning software that guarantees the privacy and security of device data and its use, allowing the user to have a high degree of trust in the AI solutions embedded in them.Many organisations already collect high-level operational and HSE incident data intelligence through various Industrial IoT devices and cameras to successfully predict safety incidents. However, analytics based on this is not meaningfully actionable to drive changes that preventatively reduce risks.For predictions to be meaningfully actionable, they must be made at a sufficient level of granularity within the workgroup. Technology now exists to monitor such events at granularity---enabling the build of models to predict and forecast events in the future at sufficient granularity---enabling game-changing preventative impact at the workgroup level.Fortunately, HSE critical events are rare within single sites or even organisations---meaning insufficient data exists to employ ML models capable of predicting when and why H&S incidents might occur so they can be prevented. However, progress towards an AI-enabled solution is impeded by:a) a requirement for more observations than one organisation can generate alone, so it is imperative to share data, andb) barriers to sharing data across organisations that, until now, have not been overcome.Federated Learning solves this. The project will enable organisations to combine data to facilitate actionable incident predictions for small work groups.This project aims to address vulnerabilities in Machine Learning for IoT with a specific focus on FL and addresses the fundamental challenges of socially responsible AI adoption into society.
数据隐私和安全是将人工智能/机器学习与物联网(IoT)结合使用的一个关键问题,特别是在数据是个人或安全敏感的情况下。支持物联网的设备和机器的数量正在呈指数级增长,预计到2030年全球将达到260亿。创建优化的平台,以最大限度地提高可信任分布式系统中的私有和安全机器学习的边缘,是当务之急。该联盟的使命是帮助解决实现值得信赖的AI-in-IoT的挑战。这将通过加快开发联合、安全、隐私保护和可审计的物联网AI-for-IoT平台来实现,该平台针对物联网和EDGE系统中的机器学习进行了优化。OctaiPipe是首个将隐私保护机器学习技术、网络安全、持续协作学习和AI生命周期管理相结合的创新。这将允许支持物联网的企业构建、部署和管理机器学习软件,以确保设备数据及其使用的隐私和安全,使用户能够高度信任其中嵌入的人工智能解决方案。许多组织已经通过各种工业物联网设备和摄像头收集高级运营和HSE事件数据情报,以成功预测安全事件。然而,基于此的分析对于推动预防性降低风险的更改来说是没有意义的可操作的。要使预测具有有意义的可操作性,就必须在工作组内以足够的粒度进行预测。现在有技术可以在粒度上监控此类事件-使模型的构建能够以足够的粒度预测和预报未来的事件-在工作组层面实现改变游戏规则的预防性影响。幸运的是,HSE关键事件在单个站点甚至组织中很少发生-这意味着没有足够的数据来使用ML模型来预测H&S事件可能发生的时间和原因,以便可以预防它们。然而,人工智能解决方案的进展受到以下因素的阻碍:a)对观察结果的要求超过了一个组织单独产生的观察结果,因此共享数据势在必行,以及b)迄今为止尚未克服的跨组织共享数据的障碍。联合学习解决了这一问题。该项目将使组织能够结合数据,为小型工作组提供可行的事件预测。该项目旨在解决物联网机器学习中的漏洞,并特别关注FL,并解决对社会负责任的人工智能进入社会的根本挑战。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

其他文献

Internet-administered, low-intensity cognitive behavioral therapy for parents of children treated for cancer: A feasibility trial (ENGAGE).
针对癌症儿童父母的互联网管理、低强度认知行为疗法:可行性试验 (ENGAGE)。
  • DOI:
    10.1002/cam4.5377
  • 发表时间:
    2023-03
  • 期刊:
  • 影响因子:
    4
  • 作者:
  • 通讯作者:
Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment.
在自我监管的环境中,儿童和青少年在电视上接触不健康食品和饮料广告的情况存在差异。
  • DOI:
    10.1186/s12889-023-15027-w
  • 发表时间:
    2023-03-23
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
  • 通讯作者:
The association between rheumatoid arthritis and reduced estimated cardiorespiratory fitness is mediated by physical symptoms and negative emotions: a cross-sectional study.
类风湿性关节炎与估计心肺健康降低之间的关联是由身体症状和负面情绪介导的:一项横断面研究。
  • DOI:
    10.1007/s10067-023-06584-x
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
  • 通讯作者:
ElasticBLAST: accelerating sequence search via cloud computing.
ElasticBLAST:通过云计算加速序列搜索。
  • DOI:
    10.1186/s12859-023-05245-9
  • 发表时间:
    2023-03-26
  • 期刊:
  • 影响因子:
    3
  • 作者:
  • 通讯作者:
Amplified EQCM-D detection of extracellular vesicles using 2D gold nanostructured arrays fabricated by block copolymer self-assembly.
使用通过嵌段共聚物自组装制造的 2D 金纳米结构阵列放大 EQCM-D 检测细胞外囊泡。
  • DOI:
    10.1039/d2nh00424k
  • 发表时间:
    2023-03-27
  • 期刊:
  • 影响因子:
    9.7
  • 作者:
  • 通讯作者:

的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('', 18)}}的其他基金

An implantable biosensor microsystem for real-time measurement of circulating biomarkers
用于实时测量循环生物标志物的植入式生物传感器微系统
  • 批准号:
    2901954
  • 财政年份:
    2028
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Exploiting the polysaccharide breakdown capacity of the human gut microbiome to develop environmentally sustainable dishwashing solutions
利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
  • 批准号:
    2896097
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
A Robot that Swims Through Granular Materials
可以在颗粒材料中游动的机器人
  • 批准号:
    2780268
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
  • 批准号:
    2908918
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
  • 批准号:
    2908693
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
  • 批准号:
    2908917
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
  • 批准号:
    2879438
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
  • 批准号:
    2890513
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
CDT year 1 so TBC in Oct 2024
CDT 第 1 年,预计 2024 年 10 月
  • 批准号:
    2879865
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship
Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
了解野生鸟类肠道微生物组、行为和城市化之间的相互作用
  • 批准号:
    2876993
  • 财政年份:
    2027
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Studentship

相似海外基金

Advancing Governance and Resilience for Climate Adaptation through Cultural Heritage (AGREE)
通过文化遗产促进气候适应的治理和抵御能力(同意)
  • 批准号:
    AH/Z000017/1
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Research Grant
Advancing Child and Youth-led Climate Change Education with Country
与国家一起推进儿童和青少年主导的气候变化教育
  • 批准号:
    DP240100968
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Discovery Projects
Governing Sustainable Futures: Advancing the use of Participatory Mechanisms for addressing Place-based Contestations of Sustainable Living
治理可持续未来:推进利用参与机制来解决基于地方的可持续生活竞赛
  • 批准号:
    ES/Z502789/1
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Research Grant
Collaborative Research: Conference: DESC: Type III: Eco Edge - Advancing Sustainable Machine Learning at the Edge
协作研究:会议:DESC:类型 III:生态边缘 - 推进边缘的可持续机器学习
  • 批准号:
    2342498
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Standard Grant
HSI Implementation and Evaluation Project: Green Chemistry: Advancing Equity, Relevance, and Environmental Justice
HSI 实施和评估项目:绿色化学:促进公平、相关性和环境正义
  • 批准号:
    2345355
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Continuing Grant
AUC-GRANTED: Advancing Transformation of the Research Enterprise through Shared Resource Support Model for Collective Impact and Synergistic Effect.
AUC 授予:通过共享资源支持模型实现集体影响和协同效应,推进研究企业转型。
  • 批准号:
    2341110
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Cooperative Agreement
ALPACA - Advancing the Long-range Prediction, Attribution, and forecast Calibration of AMOC and its climate impacts
APACA - 推进 AMOC 及其气候影响的长期预测、归因和预报校准
  • 批准号:
    2406511
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Standard Grant
Planning: Advancing Discovery on a Sustainable National Research Enterprise
规划:推进可持续国家研究企业的发现
  • 批准号:
    2412406
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
  • 批准号:
    2414607
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Standard Grant
Photonic-Enabled THz Duplex Metasurface: Advancing Communication and Sensing
光子太赫兹双工超表面:推进通信和传感
  • 批准号:
    24K17324
  • 财政年份:
    2024
  • 资助金额:
    $ 148.3万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了